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SRE & Incidents

Why Nitric stopped asking one AI agent to do everything

A five-person engineering team explains why it split incident handling across several specialized AI agents instead of one, and how that setup made triage and fixes easier to review and improve.

The New Stack11 Nov 2026 · 8 min read · summary

article --summary

The summary

The team describes how frequent overnight pages, most of them noise, pushed them to build a workflow where specialized agents investigate incidents, track follow-up work, and prepare fixes while engineers review and correct the results. They introduce Sugabots, an open-source, self-hosted tool where people and agents share investigation history within team workspaces that connect to outside systems. Their Sentry triage agent chooses between paging the on-call engineer, scheduling an in-hours review, sending a small fix to an implementation agent, or archiving the issue, and a backlog agent records follow-up work in Linear. The central argument is that separating responsibilities lets a team judge each decision on its own, such as whether triage justified an interruption, whether a ticket kept enough evidence, and whether a proposed fix actually addressed the problem. The authors also stress checking for missed urgent incidents alongside fewer wake-up calls, since fewer interruptions could come from better classification or simply from fewer incidents. The piece closes by moving on to how each agent's tool permissions should match its particular role.

Editorial note: This is a summary of an article first published by The New Stack. The full piece is on their site.

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Topic
SRE & Incidents
Source
The New Stack
Published
11 Nov 2026
Format
Curated summary

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